{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "0d12a808",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "#  Mplfinance Used To Plot Dochian Channel\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "005de577",
   "metadata": {},
   "source": [
    "### What is Dochian Channel\n",
    "Donchian Channel is a volatility indicator that helps technical analysts to identify and define price trends as well as determine the optimal entry and exit points in ranging markets.:\n",
    "\n",
    "- Visually, the Donchian Channel features a median band that is enclosed by an upper band and a lower band.\n",
    "- While the latter’s bands are determined by standard deviation, Donchian Channel bands are determined by the high and low prices an asset has reached over a certain period.\n",
    "- This helps to eliminate potentially distorted information that can be caused by spiky, unsustainable price movements."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f0607bb3",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "### mplfinance 'yahoo' styles was used to customize:\n",
    "- Type of Plot Use `candle`\n",
    "- Dochian Channel Build With Three Types Lines Named Upper Band, Middle Band and Lower Band\n",
    "- Background, Grid, and Figure Colors\n",
    "- Grid style\n",
    "- Y-Axis On The Right or Left\n",
    "- Matplotlib Defaults\n",
    "- Fill Between\n",
    "- Alpha\n",
    "- Color\n",
    "#### The simplest way to do this is to choose one of the `add_plot` that come packaged with `mplfinance`\n",
    "#### but, as we see below, it is also possible to customize your own `mplfinance styles`.\n",
    "#### Also Other Plot Type Can Be Used\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "821ec5c5",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import mplfinance as mpf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a9c03662",
   "metadata": {},
   "outputs": [],
   "source": [
    "# This allows multiple outputs from a single jupyter notebook cell:\n",
    "from IPython.core.interactiveshell import InteractiveShell\n",
    "InteractiveShell.ast_node_interactivity = \"all\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "47fc3cba",
   "metadata": {},
   "source": [
    "### Read in daily data for the S&P 500 from November of 2019 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9012cbce",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(200, 6)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2003-06-25</th>\n",
       "      <td>20.530001</td>\n",
       "      <td>20.83</td>\n",
       "      <td>19.99</td>\n",
       "      <td>20.040001</td>\n",
       "      <td>13.693501</td>\n",
       "      <td>61250600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003-06-26</th>\n",
       "      <td>20.299999</td>\n",
       "      <td>20.76</td>\n",
       "      <td>20.15</td>\n",
       "      <td>20.629999</td>\n",
       "      <td>14.096654</td>\n",
       "      <td>52904900</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Open   High    Low      Close  Adj Close    Volume\n",
       "Date                                                               \n",
       "2003-06-25  20.530001  20.83  19.99  20.040001  13.693501  61250600\n",
       "2003-06-26  20.299999  20.76  20.15  20.629999  14.096654  52904900"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2004-04-07</th>\n",
       "      <td>28.08</td>\n",
       "      <td>28.129999</td>\n",
       "      <td>27.480000</td>\n",
       "      <td>27.620001</td>\n",
       "      <td>18.923342</td>\n",
       "      <td>72680200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-04-08</th>\n",
       "      <td>28.08</td>\n",
       "      <td>28.139999</td>\n",
       "      <td>27.200001</td>\n",
       "      <td>27.370001</td>\n",
       "      <td>18.752058</td>\n",
       "      <td>71791400</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Open       High        Low      Close  Adj Close    Volume\n",
       "Date                                                                   \n",
       "2004-04-07  28.08  28.129999  27.480000  27.620001  18.923342  72680200\n",
       "2004-04-08  28.08  28.139999  27.200001  27.370001  18.752058  71791400"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "idf = pd.read_csv('../data/yahoofinance-INTC-19950101-20040412.csv',index_col=0,parse_dates=True).tail(200)\n",
    "\n",
    "df = idf.copy()\n",
    "df.index.name = 'Date'\n",
    "df.shape\n",
    "df.head(2)\n",
    "df.tail(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "313bd8d2",
   "metadata": {},
   "source": [
    "---\n",
    "- **Donchian Channel has 3 lines: Upper Band, Median Band and Lower Band. They are calculated as follows:**\n",
    "\n",
    "- Upper Band = The Highest High in the previous n periods\n",
    "- Lower Band = The Lowest Low in the previous n periods\n",
    "- Median Band = ((Upper Band – Lower Band))/2)\n",
    "- **Here is Following Calculation:**\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b50f8903",
   "metadata": {},
   "outputs": [],
   "source": [
    "#For Calcultation Dochian Channel\n",
    "period = 10\n",
    "df['Upper'] = df['High'].rolling(period).max()\n",
    "df['Lower'] = df['Low'].rolling(period).min()\n",
    "df['Middle'] = (df['Upper'] + df['Lower']) / 2\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "37d55079",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Data Extracted And New Variable Applied\n",
    "DCU = df[['Upper']]\n",
    "DCM = df[['Middle']]\n",
    "DCL = df[['Lower']]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18e4178e",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "Let's say we want to plot the Ichimoku Cloud along with the basic OHLCV plot.  \n",
    "\n",
    "We Use `make_addplot()` to create the addplot dict, and pass that into the plot() function:\n",
    "\n",
    "We Use `Color` To Define Line Colors\n",
    "\n",
    "We Use `alpha` To Define Depth Line Color"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "8ad79ac0",
   "metadata": {},
   "outputs": [],
   "source": [
    "apds = [\n",
    "    mpf.make_addplot(DCU,color='#2962FF',panel=0,),\n",
    "    mpf.make_addplot(DCM,color='#FF6D00',panel=0,),\n",
    "    mpf.make_addplot(DCL,color='#2962FF',panel=0,),\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "4b7b72aa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2000x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpf.plot(\n",
    "    df,\n",
    "    volume=True,\n",
    "    type=\"candle\",\n",
    "    fill_between=dict(y1=df['Upper'].values,y2=df['Lower'].values,alpha=0.1,color='#2962FF'),\n",
    "    style=\"yahoo\",\n",
    "    addplot=apds,\n",
    "    figsize=(20,10),\n",
    "    \n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3c51400f",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "36247f25",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
